Ahsan, F and Banerjee, U (2023) Embedded Software Implementation of Privacy Preserving Matrix Computation using Elliptic Curve Cryptography for IoT Applications. In: International Symposium on Advanced Networks and Telecommunication Systems, ANTS, 18 - 21 December 2022, Gandhinagar, Gujarat, pp. 353-358.
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Abstract
Security concerns about data collected and processed by network-connected electronic devices has motivated the need for privacy-preserving computation. One of the most promising theoretical tools in this direction is homomorphic encryption. In this work, we explore the efficient implementation of elliptic curve-based additively homomorphic encryption which allows certain matrix-vector operations in the encrypted domain without the prohibitive computational complexity of fully homomorphic encryption. We present an algorithmic framework for the same, supported by detailed performance analysis of our software implementation evaluated on an embedded microprocessor along with memory-time trade-offs and side-channel countermeasures. We also discuss various applications which can benefit from this privacy-preserving compute framework. © 2022 IEEE.
Item Type: | Conference Paper |
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Publication: | International Symposium on Advanced Networks and Telecommunication Systems, ANTS |
Publisher: | IEEE Computer Society |
Additional Information: | The copyright for this conference proceeding belongs to the IEEE Computer Society. |
Keywords: | Application programs; Economic and social effects; Internet of things; Matrix algebra; Privacy-preserving techniques; Public key cryptography; Side channel attack, Curve cryptography; Efficient implementation; Electronics devices; Elliptic curve; Ho-momorphic encryptions; Homomorphic-encryptions; Matrix computation; Privacy preserving; Privacy preserving computation; Software implementation, Geometry |
Department/Centre: | Division of Electrical Sciences > Electronic Systems Engineering (Formerly Centre for Electronic Design & Technology) |
Date Deposited: | 27 Nov 2023 06:59 |
Last Modified: | 27 Nov 2023 06:59 |
URI: | https://eprints.iisc.ac.in/id/eprint/83275 |
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